A NNALES DE L ’I. H. P., SECTION B
J. V UOLLE -A PIALA
Time-changes of self-similar Markov processes
Annales de l’I. H. P., section B, tome 25, n
o4 (1989), p. 581-587
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Time-changes of self-similar Markov processes
J. VUOLLE-APIALA
Aarhus University, Department of Mathematics, Ny Munkegade, DK-8000 Aarhus C., Denmark Ann. Inst. Henri Poincaré,
Vol. 25, n° 4, 1989, p. 581-587. Probabilités et Statistiques
ABSTRACT. - Let
Xt
be a03B2-self-similar, 03B2
>0,
transient Markov processon
(0, oo).
We show that ifXTt (Tt
is theright
continuous inverse of acontinuous additive functional
At)
is an 03B1-self-similar Markov process,a > 0,
thenA result
concerning time-changes
of a transientLevy
process is alsogiven.
Key words : Self-similar, Markov process, time-change, Levy process.
RESUME. - Soit
Xt
un processusp-self-similaire
transient et de Markovsur
(0, oo), ~3 > o.
NotonsTt
l’inverse continu a droite du fonctionnelle additiveAt.
Nous montrons que siXTt
est un processus a-self-similaire et deMarkov, Cl>O,
alorsUn resultat concernant le
changement
de temps d’un processus deLevy
transient est
également
donne.582 J. VUOLLE-APIALA
0. INTRODUCTION
a-self-similar Markov processes
(a-ssmp)
on(0, oo)
were introducedby
J.
Lamperti [5].
The process(Xt, P")
with a state space(0, oo)
is calleda-ssmp,
ex>O,
if there exists a Borelsemigroup (Pi, ))t _> o
on(0, oo ) (0, oo ) satisfying
(i) Po ( ~ ) = I~
(ii) Pt (x, aa A)
for allt > 0, a > 0, x E (0, oo ), A E ~ (0, oo ),
such that
(Xt, Px)
is a timehomogeneous
Markov process with a transitionfunction
(Pt ( ,
and withsample paths
that are P~-almostsurely right-continuous
with left limits for allx E (0, oo).
It was
proved
in[6]
that every a-ssmp with "nicepaths" (see Notation)
on
(0, oo )
has a weak dual withrespect
to the measure dx. In this note weapply
this result andcharacterize,
thetheory developed
in[3]
asa main
tool,
all thepossible
ways totime-change
a transient self-similar process(in fact,
an a-ssmp is transient iff it iscotransient;
seeProposition)
to another self-similar process. We also obtain a result
concerning
time-changes
of aLevy
process. Forsimplicity,
we assumea > 0,
but the resultscan
easily
begeneralized
tonegative
a.1. - NOTATION. DEFINITIONS
Q notes the space of all functions o from
[0,
~(0, oo) U ~ ~ ~ (A
denotes the
point
used as a"graveyard";
we assume A is an isolatedpoint),
whichsatisfy
(a)
fort>_0; ~(t)=0 ~;
(b) co
isright
continuous and co or has left limits on[0, oo)
at every Such Q is called the space of "nicepaths".
DEFINITION. - Let a > 0 be
given.
A stochastic process(Xt,
with astate space
(0,
is called a-ssmp on(0, oo )
if thefollowing
issatisfied: there exists a Borel
semigroup (Pt ( , ))t >_ o
on(0, oo)
X ~(0, oo)
with the
properties:
(i) 1’0 ( ~ ) = I~
(ii) Pt (x,
for allt ~ 0, a > 0, x E (0, oo ), A E ~ (0, oo ),
such that
(Xt, P~)
is a timehomogeneous
Markov process with a transition function(Pt ( , )t > o
and forx E (0, ao ).
Remark I. -
It wasproved
in[4]
that every a-ssmp o.n(0, oo ) automati- cally
isstrongly
Markov.A Markov process
(Xt, Px, x E (0, oo))
is said to be in weakduality
witha Markov process
(Xt, Px, x E (0, oo))
withrespect
to a a-finite measureAnnales de l’lnstitut Henri Poincaré - Probabilités et Statistiques
583
SELF-SIMILAR MARKOV PROCESSES
r~, if for all
bounded f, g
in~ (o, oo)
Let
(Xt, P~)
be in weakduality
with(Xt, Px)
withrespect
to a measure(Xt, PX)
is said to betransient,
iffor all x, all
bounded, non-negative
Borel functionsf
on(0, oo)
withcompact support (see
alternative definitions for transience in[2]).
If thedual process
(Xt, Px)
istransient,
thenP~)
is said to be cotransient.Remark 2. - It was shown in
[6]
that an a-ssmp on(0, oo )
has a weakdual,
withrespect
to the measurexl~«- ~ dx,
and the dual process is alsoan a-ssmp.
2. - THEOREMS
We assume
throughout
this paper thatP~)
is transient(as
we shallsee in
Proposition,
for self-similar processes the transience isequivalent
to the
cotransience). According
to[6], (XTt, P~)
is an a-ssmp if(Xt, P")
isp-ssmp
andTt
is theright
continuous inverse of an additive functional k We shall show that this is theonly possible
way to time-change (Xt, Px)
to an a-ssmp.PROPOSITION. - Let
(Xt, Px)
be a03B2-ssmp
on(0, r), [3 >
0. Then it istransient
iff
it is cotrasient.Proof. - According
to[4] (Th. 2.3)
and[5] (Th. 4.1),
there is one toone
correspondence
between ap-ssmp Xt
on(0, oo)
and aLevy
processZt
on( - oo, + oo) (that is, Zt
is astrong
Markov process which havestationary independent
increments andright
continuouspaths
with leftlimits)
definedby
whereTr
is theright
continuous inverse ofan additive functional
It is also
easily
seen thatXt
is transient iffZr
is transient. Now forZt
there exists a weak dual
2~
withrespect
to theLebesgue
measure suchthat also
Zt
is aLevy
process. As shown in[6], starting
fromZt
one canconstruct a
03B2-ssmp t,
which is a weak dual toXt
with respect to the584 J. VUOLLE-APIALA
measure dx. Now
Xt
is transient iffZt
is transient and so it sufficesto show that
Zt
is transient iff it is cotransient. If(Zt, QZ)
is aLevy
process then
Zt
underQZ
has the same distribution asz + Zt
underQ°
and thus easy calculations show that
Zt
underQZ
has the same distributionas
z - Zt
underQ°.
This shows thatZt
is transient iffZt
is transient andgives
thus the assertion.In the
proof
of thefollowing
theoremactually
cotransience(and
nottransience)
is used.THEOREM 2.1. - Let
(Xt, Px)
be a transient03B2-ssmp
on(0, oo), (3
>0,
andlet
At be a
continuousadditive functional
withTt
as theright
continuousinverse,
i. e.If
the processPx)
is 03B1-ssmp, then there exists k > 0 such thatProof. -
As mentioned in Remark2, (Xt, P")
has a weak dual(Xt, P")
with
respect
to the measurex l ~~ -1 dx
such that also(Xt, P")
isp-ssmp.
Let
At
be a continuous additive functional ofXt
and let(XTt, P"), Tt
isthe
right
continuous inverse ofAt,
be an a-ssmp. Let further vA be the Revuz measurecorresponding
toAt. According
to the result of Getoor andSharpe [3]
for any
bounded, non-negative
Borel function/
withcompact support.
The
right
side of(2.1)
isequal
to~0f(XTt)dt }y1/03B2-1 dy, which,
because of the
a-self-similarity
ofPx),
isequal
toAnnales de l’lnstitut Henri Poincaré - Probabilités et Statistiques
SELF-SIMILAR MARKOV PROCESSES 585
From
(2.1)
and(2 . 2)
weobtain, by substituting z = a°‘ y,
The
03B2-self-similarity
of(Xt, Px) implies
This, together
with(2. 3), gives
Because
Xt
is cotransient we haveLJ, f ’ (x)
+ oo , V x. ThusApplying
the well-knownuniqueness
result for a Haar measure we obtainwhich
gives
Remark. - The
special
case of Theorem 1 is oc =P,
whichgives At
= kt.This means that the
only possible
way totime-change
a transientP-ssmp
to another
P-ssmp
is a lineartime-change.
In
[5]
J.Lamperti
introduced a continuous additive functionalwhere
(Xt, P~)
is ap-ssmp
on(0, oo).
He showed that ifTt
is theright
continuous inverse of
At,
then thetime-changed
process(XTt, P~)
is astrong Markov process on
(0, oo)
such that it ismultiplicatively invariant,
I. e.
A) = Qt (ax, a A),
for allXe(0, oo ), oo ),
where
Qt ( , )
is a transition function for(XTt, Px).
The
following
theorem says thatthis, possibly multiplied by
a constant, is theonly
way totime-change (X~, P")
to amultiplicatively
invariant586 J. VUOLLE-APIALA
process:
THEOREM 2.2. - Let
Px)
be a transient03B2-ssmp
on(0, oo)
and letAt
be a continuous additive
functional of Px)
andTt
theright
continuousinverse
of Ar. If Px)
ismultiplicatively invariant,
then there exists k > 0 such thatThe
proof
is similar to that of Theorem 2.1 and will therefore be omitted.Finally,
we shallpresent
a resultconcerning time-changes
of aLevy
process. It was
already
remarkedby Lamperti [5]
that(Yt)
is amultiplica- tively
invariantstrong
Markov process with "nicepaths" (see Notation)
on
(0, oo)
iff(Zt) _ (log Yt)
is aLevy
process on( -
oo, -oo).
We willshow
THEOREM 2.3. - The
only possible
way totime-change
a transientLevy
process on
( -
~, +oo )
to anotherLevy
process is a lineartime-change t - kt,
k>o.We need the
following
Lemma:LEMMA. - Let
(Yr, P~)
be atransient, multiplicatively
invariant strong Markov process with "nicepaths" (see Notation)
on(0, oo).
Then theonly possible
way totime-change (Yt, Px)
to another processof
the same type isa linear
time-change
t -kt,
k > o.Proof. -
What we have to showis,
that ifAt
is a continuous additive functional of(Yt)
withTt
as theright
continuous inverse and(YTt, P~)
ismultiplicatively invariant,
then there exists k > 0 such thatAt = kt
for allt ~. According
to[6], (Yt, P")
has a weak dual withrespect
to themeasure dx. We can now
show, by
the same way as in Theorem2.1,
that
At
has a Revuz measurewhich
gives
the assertion.’
Proof of
Theorem 2.3. - Let(Zt, QZ)
be a transientLevy
process on( - oo, +00). Then,
as remarked in theproof
ofProposition,
the weakdual
(Zt, QZ),
which also is aLevy
process, is transient. Now(exp Zt, "),
x >0,
ismultiplicatively
invariant andhas,
as shown in[6],
a weak dual
(expZt,
withrespect
to the measure dx. It iseasily
seen that
(Zt)
is transient iff(exp Zt)
is transient and so,according
toLemma, (exp Zt)
cannot betime-changed
to anothermultiplicatively
invari-ant process with "nice
paths"
otherwise thanby
the linear timechange t - kt,
k > o. Thus one to onecorrespondence
between the class ofLevy
Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques
SELF-SIMILAR MARKOV PROCESSES 587
processes and the class of
multiplicatively
invariant processes with "nicepaths" gives
the assertion.REFERENCES
[1] R. M. BLUMENTHAL and R. K. GETOOR, Markov Processes and Potential Theory, New York, Academic Press, 1968.
[2] R. K. GETOOR, Transience and Recurrence of Markov Processes, Séminaire de Probabili- tés XIV, 1978/79, pp. 397-409.
[3] R. K. GETOOR and M. J. SHARPE, Naturality, Standardness and weak Duality for
Markov Processes, Z. Wahrscheinlichkeitstheorie verw. Geb., Vol. 67, 1984, p. 1-62.
[4] S. E. GRAVERSEN and J. VUOLLE-APIALA, 03B1-Self-Similar Markov Processes, Prob. Th.
Rel. Fields, Vol. 71, 1986, pp. 149-158.
[5] J. W. LAMPERTI, Semi-Stable Markov Processes I, Z. Wahrscheinlichkeitstheorie verw.
Geb., Vol. 22, 1972, pp. 205-225.
[6] J. VUOLLE-APIALA and S. E. GRAVERSEN, Duality Theory for Self-Similar Processes, Ann. Inst. Henri Poincaré, Probabilités et Statistiques, Vol. 22, (3), 1986, pp. 323-332.
(Manuscript received November 22th, 1988) (accepted June 15th, 1989.)